I recieved my PhD in Aeronautics and Astronautics from the Massachusetts Institute of Technology in June 2021. At MIT, I was affiliated with the ICAT and DINaMo research groups, and advised by Prof. Hamsa Balakrishnan. Previously, I obtained my SM from MIT, and B.Tech (Hons.) from IIT Madras.
I will be joining Stanford for a postdoc in Fall 2021.
I am working towards a future where self-driving cars, autonomous drones, air-taxis, and aerial robots are a part of everyday life. In my research, I develop mathematical methods for optimization, control, and learning in networked systems. This methods lay the foundation for autonomous mobile systems that will transform transportation, logistics and supply chain, urban monitoring, and industrial automation. During my PhD, I have worked on applications ranging from aircraft scheduling, data privacy, traffic management for unmanned aircraft systems and urban air mobility, communication security, and shared mobility platforms.
Current interests
- Learning: Incorporating physical-constraints, approximations for combinatorial optimization problems
- Multi-agent coordination: Privacy, fairness, and strategic behavior in mobility platforms
- Planning and control: Distributed sensing, especially using unmanned aerial systems
Recent news
July 2021: Two papers accepted in the ATM Seminar! Will post the papers here shortly.
June 2021: Recieved my PhD from MIT!
June 2021: Congestion pricing, although effective in reducing travel time, typically worsens societal inequality. We recently designed an appripriate revenue-refunding scheme can overcome this limitation. Check out the preprint here!
June 2021: We developed Aerialis, a platform that provides drones-as-a-service to a wide range of applications. Check out the paper we presented at the DroNet 2021 workshop!
June 2021: Fairness in shared mobility platforms such as Uber or Grubhub has become in increasing cocnern. We develop Mobius, a scheduling platform that helps achieve both a high-throughput and fairness in these mobility platforms. Check out the paper and the talk!
Feb 2021: Our work on network clustering and benchmarking was accepted in Transportation Reserch Part C: Emerging Technologies.
Jan 2021: Our work on differential privacy is accepted at ACC 2021
Oct 2020: Check out our work on flight delay disruptions, delay re-distributions, and UAS traffic management at INFORMS 2020!
Oct 2020: Papers accepted at IEEE Intelligent Transportation Systems, Transportation Science, and Annual Reviews in Controls, Robotics and Autonomous Systems.
September 2020: Two best paper awards at ICRAT 2020!